biteval/browser_ctl
If you are the rightful owner of browser_ctl and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.
Browser CTL MCP Server is an SSE Anthropic based MCP server built on Python Playwright, enabling AI agents to control and interact with web browsers using Chrome.
Browser CTL MCP Server
SSE Anthropic based MCP server built on Python Playwright, providing a suite of tools that enable AI agents to control and interact with web browsers , this simple version use chrome browser.
Exposed Tools:
1. execute_javascript
Execute JavaScript code in real-time browser using Playwright's evaluate method and return the script's result.
2. go_to_url
Visit a target url in real-time browser.
3. sleep_for
Browser sleep for a random seconds between begin and end .
4. close_browser
Close the opened browser.
5. open_browser
Open browser in real-time.
6. take_browser_screenshot
Capture a screenshot of the current browser page and return a base64-encoded image.
Default log
This MCP server start with info log level by default:
#Configure logging
logging.basicConfig(
level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s"
)
Default End Point
http://127.0.0.1:8001/sse
INSTALL
First, let’s install uv and set up our Python project and environment:
Linux:
curl -LsSf https://astral.sh/uv/install.sh | sh
Windows:
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"
Clone the repo:
git clone https://github.com/biteval/browser_ctl.git
Go to the project dir:
cd browser_ctl
Create virtual environment and activate it
uv init
uv venv
Linux:
source .venv/bin/activate
Windows:
.venv\Scripts\activate
Install dependencies
Linux
uv add "mcp[cli]" httpx playwright
Windows
uv add mcp[cli] httpx playwright
Download playwright browser binaries
python -m playwright install
Start the Browser CTL MCP Server
python browser_ctl.py
Contributions Are Welcome!
Your expertise and ideas can make a significant impact on this project. Thanks!
Learn More
Visit our YouTube channel to learn how to create AI agents:
